To gather the building data and apply the DeltaQ control signals, a small-sized communication device is installed: the DeltaQ Building Gateway. Our team coordinates any preparatory work if applicable.
The DeltaQ gateway connects to the building control / BMS network, gathers data and feeds it to the DeltaQ cloud platform. Data transfer to the cloud is done via an on-site connection to the internet or via cellular connection in case of network restrictions.
The building is configured by the DeltaQ team with support from the building maintenance staff. With every configuration step, more real-time operational monitoring is displayed on the DeltaQ dashboard.
We train the building maintenance staff on the DeltaQ steering and dashboard functionalities. Furthermore, we streamline service and intervention procedures to ensure smooth collaboration.
DeltaQ self-learning algorithms require 4-8 weeks of data to identify and calibrate a building model (digital twin of the building). After initial model identification, DeltaQ recalibrates the model on a weekly basis to account for changes in building characteristics, occupation, seasonal changes, etc.
DeltaQ calculates optimal control signals combining the building model with user requirements, weather forecasts, energy price data, etc. The optimal control signals are applied automatically and continuously to the building control / BMS, overruling specific setpoints.
DeltaQ’s self-learning algorithms learn how a building behaves under varying internal and weather conditions. DeltaQ will continuously maximize energy cost savings while ensuring optimal comfort.